
Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.
Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. 📊🧠
Discover the newest research about AI innovations in 🧠 Mental Health.
Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. 📊🧠
Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! 💤📊
Machine learning predicts abortion in Ethiopian women: 91% accuracy, key factors include age and first birth before 18. 📊🤰
AI revolutionizes anti-addiction drug discovery, enhancing efficacy and speed in targeting complex neurochemical systems. 📈💊
Shropshire Trusts launch Access Intelligent Care Platform for improved patient data access and care coordination. 📊💙
AI in healthcare: Maharashtra University partners with Nihilent to explore emotion detection for improved patient care. 🤖❤️
Omada Health files for IPO with SEC, focusing on chronic care management. Revenue growth noted, but net losses persist. 📈💼
Tinnitus risk factors identified: hearing health, mood, neuroticism, and sleep. Predictive model shows 78% accuracy! 📊🔍
Curai Health partners with Rula Health to improve mental health services, connecting patients to over 15,000 licensed providers. 🧠🤝
Exploring chatbot potential for student mental health: accessibility, stigma reduction, and ethical concerns. 🤖📚